Where is the AI Applied Scientist – Insights & Recommendations role at Augury located?

The AI Applied Scientist – Insights & Recommendations position at Augury is based in Haifa; Tel-Aviv; Augury Israel. This is an on-site position.

What experience is required for the AI Applied Scientist – Insights & Recommendations role at Augury?

The AI Applied Scientist – Insights & Recommendations position at Augury requires 5+ yrs exp.

What skills are required for the AI Applied Scientist – Insights & Recommendations role at Augury?

Key skills for the AI Applied Scientist – Insights & Recommendations position at Augury include: machine learning, deep learning, large language models, python.

AI Applied Scientist – Insights & Recommendations — Augury

Our mission is to transform how people and machines work together to push the boundaries of human productivity. A leader in Industrial AI, Augury helps the world’s manufacturers leverage real-time production insights to drive new levels of efficiency. Combining predictive and prescriptive AI technology with industry expertise, production teams can proactively address alerts, minimize downtime, reduce asset costs, and maximize yield and capacity. Our customers achieve payback in six months or less, enabling global scale. We're looking for team members excited to partner with the world's manufacturers and build the future of production together.

As Augury’s AI Applied Scientist, you’ll be at the intersection of advanced technology and meaningful impact with clear business cases. You will have access to real-time (RT) big data from multiple Sensors & Data sources, and a chance to discover, explore research, and develop cutting-edge models that directly impact industrial manufacturers around the globe. As part of the Applied AI/ML Science team at Augury, you will have the opportunity to continuously grow and learn while building and deploying advanced models directly into our products, and stay at the forefront of the world's technologies, witnessing firsthand their impact on our customers.

A Day In Your Life

Own the algorithm lifecycle from problem definition and data analysis to prototyping and delivering production-ready models.
Combine classic methods with inference techniques: statistics, Time series, Deep learning, anomaly detection, Recommendation Systems, Transformers, and Inference to extract data-driven insights.
Research, design, and build Agentic applications on top of sensor time-series data, textual data, images, ML applications, and other various data sources.
Engage with customers and collaborate with our product team to develop innovative solutions utilizing new types of data.
Leverage modern technologies: work with cloud-based big data platforms for storage, distributed processing, LLMs and agents (GPT, Claude, Gemini), defining & building Gurdrails, reasoning chain as function call, planning, ML-based vectorization and embeddings, and stream analysis.

What You Bring

M.Sc., or Ph.D. in Electrical Engineering, Computer Science, Physics, Mathematics, or a related field.
5+ years of experience in ML applications in modeling Time-series data, & ML-based vectoring, and Embeddings for insight & recommendations systems (Transformers included) - Mandatory
2+ years of experience in LLM and Agentic applications, Eval tools, methods, and workflows (HITL, LLM-as-a-judge, deterministic, Metrics & Embeddings), Fine-Tuning, and AI workflows and lifecycle (e.g. LangSmith, CrewAI, LangGraph, Embedding (BERT, w2v, FastText, FastEmbed, GloVe, etc.), Tokenizations (GPT. TikToken, Token validators, etc.), & Vector Similarities & search methods
Proficiency in Python for model development, deployment, and monitoring.
Experience working on Agile teams with a passion for fast iterations, feedback, and continuous learning.
Proven ability to collaborate with diverse, cross-functional groups, including product managers, infrastructure, and data engineering teams.
The ability to translate research into scalable, production-ready solutions.
Experience in anomaly detection and AI/ML - an advantage.
Experience in feature engineering-based signal processing - an advantage
Experience in optimizing costs of API calls - Nice to have

Perks

Stock options
Paid parental leave
Flex PTO

Augury is a people-first organization. We believe in fostering an inclusive environment in which employees feel encouraged to share their unique perspectives, leverage their strengths, and act authentically. We know that diverse teams are strong teams, and we welcome those from all backgrounds and varying experiences. We are committed to providing employees with a work environment free of discrimination and harassment. We believe that diversity is more than just good intentions, and we are committed to creating an inclusive environment for all employees.

Augury is a proud equal opportunity employer, we strive to create a work environment in which everyone, all applicants, employees, customers, guests, and vendors feel safe and comfortable. We commit to maintain a workplace that is free of any type of harassment and does not tolerate anyone intimidating, humiliating, or hurting others. We prohibit willful discrimination based on age, gender, ethnicity, race, color, religion, political opinions, sexual orientation, sexual identity or expression, military or veteran status, disability or any other characteristic protected by law.

AI Applied Scientist – Insights & Recommendations

Job description

Frequently asked questions

Where is the AI Applied Scientist – Insights & Recommendations role at Augury located?

What experience is required for the AI Applied Scientist – Insights & Recommendations role at Augury?

What skills are required for the AI Applied Scientist – Insights & Recommendations role at Augury?